Published: Thu, 24 Oct 2024 18:51:00 GMT
Position: Post-Sales Machine Learning Solutions Engineer at Hugging Face
Hugging Face is a rapidly growing company dedicated to advancing and democratizing machine learning for the betterment of society. We have built the largest open-source library of pre-trained models in the world, with over 1 million models and 320,000+ stars on GitHub. Our technology is being used by over 15,000 companies, including leading AI organizations like Google, Elastic, Salesforce, Grammarly, and NASA.
As a member of the Hugging Face Success team, you will play a crucial role in helping companies successfully utilize AI. You will work with a diverse range of clients, from cutting-edge startups to Fortune-500 giants. This dynamic role will involve advising data science teams, coding solutions, and building relationships with customers. We are looking for a highly technical and customer-focused individual who is passionate about helping others harness the power of AI.
Key Responsibilities:
– Empathize with customers to understand their goals and challenges in utilizing NLP and Vision transformers.
– Demonstrate resourcefulness and enthusiasm in solving customer problems through research, coding, and collaboration with in-house experts.
– Build strong relationships with customers and gain a deep understanding of their objectives.
– Effectively communicate complex concepts to both technical and non-technical audiences.
– Continuously learn and share knowledge with customers.
– Write code scripts and notebooks for transformers/ML Ops use cases that can be reused by customers.
Requirements:
– Experience in developing NLP/Vision solutions. This role is not intended for training in ML fundamentals, so candidates should have a strong understanding of the ML lifecycle and cloud infrastructure basics.
– Proficiency in the transformers library. Our customers come to us for our expertise in transformers, so candidates should already have a good level of proficiency and be able to quickly become an expert.
– Self-starter mentality. We are looking for individuals who can independently tackle complex problems. While collaboration is encouraged, we need people who are driven, resourceful, and motivated to take initiative.
– Attention to detail. Please include a paragraph in your application explaining your interest in Hugging Face and how your skills align with our needs.
– Strong customer relationship building skills. This role requires individuals who are excited about building relationships with customers and helping them succeed. This is not a role for someone who prefers to work independently without interacting with others.
– Excellent communication skills. Can you effectively explain a problem and its solution to someone without a technical background? This role will involve communicating with various roles, from C-level executives to IT professionals.
– Coding proficiency. Candidates should be comfortable writing code scripts and notebooks for transformers/ML Ops use cases that can be reused by customers.
– Ability to learn quickly. The field of AI/ML is constantly evolving, and so is our company. We are looking for someone who enjoys staying up-to-date with the latest developments and sharing that knowledge with customers.
If you do not meet all of the requirements listed above but are still interested in the position, we encourage you to apply! We value diversity and are building a team with a range of skills, experiences, and backgrounds. We are open to considering how you could make an impact in our company.
What We Offer:
– Be part of one of the most exciting and innovative startups in AI.
– Work with a diverse team of experts in academia, open source, and enterprise.
– Become an expert in transformers and their use in the ML lifecycle.
– Flexibility to work in a way that suits you.
– An environment that encourages learning, sharing, and constructive feedback.
– Equal opportunity employer. We value diversity, equity, and inclusivity and do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
– Opportunities for development and growth. We provide reimbursement for relevant conferences, training, and education.
– Employee benefits, including flexible working hours, remote options, health, dental, and vision benefits, parental leave, and flexible paid time off.
– Supportive and inclusive community. We have offices in NYC and Paris, but our team is mostly remote, and all employees have the opportunity to visit our offices. We also provide necessary equipment for remote employees to succeed.
– Stock options. We believe in our team and want them to be shareholders in our success.
– Community support. We believe that collaboration across the field is key to scientific advancements. Join a community dedicated to supporting the ML/AI community.
About Hugging Face:
Hugging Face is on a mission to advance and democratize machine learning for the betterment of society. Our open-source platform is being used by over 5,000 companies, including industry leaders like Google and Elastic. We are dedicated to building a diverse and inclusive workplace where all team members feel respected and supported. We value continuous learning and encourage individual expertise and constructive feedback. Apply link
